Baijiong-Lin / Awesome-Multi-Objective-Deep-LearningLinks
A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.
☆94Updated 4 months ago
Alternatives and similar repositories for Awesome-Multi-Objective-Deep-Learning
Users that are interested in Awesome-Multi-Objective-Deep-Learning are comparing it to the libraries listed below
Sorting:
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆120Updated 9 months ago
- Large Language Model for MOEA☆60Updated last year
- ☆36Updated 2 years ago
- Summary of Multitasking Optimization☆91Updated last year
- A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.☆123Updated 9 months ago
- ☆72Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆31Updated last year
- Evolution of Heuristics☆248Updated 3 months ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆80Updated 6 months ago
- A Collection on Large Language Models for Optimization☆323Updated 2 months ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆17Updated last year
- The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…☆112Updated last month
- ☆48Updated last year
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆69Updated 5 months ago
- ☆34Updated 2 years ago
- A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch☆148Updated 7 months ago
- This repository is the official implementation of the source code of the paper "B2Opt: Learning to Optimize Black-box Optimization with L…☆11Updated last year
- Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…☆35Updated 7 months ago
- MetaBox: Benchmarking Platform for Meta-Black-Box Optimization☆156Updated 2 months ago
- Official implementation of paper "BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement".☆25Updated last week
- ☆38Updated last year
- multi-task learning for routing problem☆22Updated 3 weeks ago
- Recent research papers about Foundation Models for Combinatorial Optimization☆441Updated this week
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆65Updated 2 years ago
- Bi-level Optimization for Advanced Deep Learning☆47Updated 4 years ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆74Updated this week
- Multi-task end-to-end predict-then-optimize☆13Updated 2 years ago
- A collection of MetaBBO papers and code sources☆93Updated 2 weeks ago
- [ICLR2025]Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series☆66Updated 10 months ago
- Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".☆78Updated last year